分布间接源代码的速率扭曲分析
Jiancheng Tang1, Qianqian Yang1
1College of information Science and Electronic Engineering, Zhejiang University, Hangzhou 310007, China.
Entropy (Basel, Switzerland)
|August 28, 2025
概括
本研究涉及语义通信和学习系统的分布式间接源代码. 研究人员得出了条件独立源的速率扭曲函数,并开发了Blahut-Arimoto算法进行计算.
科学领域:
- 信息理论
- 分布式系统
- 机器学习
背景情况:
- 面向任务的语义通信和分布式学习系统需要高效的数据处理.
- 分布式间接源代码包括多个独立编码的源代码.
研究的目的:
- 研究一种分布式间接源代码问题,用于在扭曲约束下恢复隐藏变量.
- 给定侧面信息的条件独立源的速率扭曲函数的特征.
主要方法:
- 对于特定的源依赖情况的确切速率扭曲函数的导出.
- 用于数值计算的分布式Blahut-Arimoto (BA) 算法的开发.
- 在解码器上使用相关的侧信息.
主要成果:
- 给定侧信息的条件独立源的确切速率-扭曲函数的特征.
- 提出并验证了一种新的分布式Blahut-Arimoto算法.
- 该算法有效计算了速率扭曲区域.
结论:
- 拟议的框架提供了一种分布式间接源代码的方法.
- 开发的算法在复杂系统中有效计算速率扭曲函数.
- 这项工作促进了语义沟通和分布式学习能力.
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